Estimating Correspondences of Deformable Objects "In-The-Wild"

no code implementations • CVPR 2016 • Yuxiang Zhou, Epameinondas Antonakos, Joan Alabort-i-Medina, Anastasios Roussos, Stefanos Zafeiriou

In this paper, we show for the first time, to the best of our knowledge, that it is possible to construct SDMs by putting object shapes in dense correspondence.

Semantic Segmentation

A Unified Framework for Compositional Fitting of Active Appearance Models

no code implementations • 2 Jan 2016 • Joan Alabort-i-Medina, Stefanos Zafeiriou

Active Appearance Models (AAMs) are one of the most popular and well-established techniques for modeling deformable objects in computer vision.

Unifying Holistic and Parts-Based Deformable Model Fitting

no code implementations • CVPR 2015 • Joan Alabort-i-Medina, Stefanos Zafeiriou

In this paper we try to marry the previous two frameworks into a unified one that potentially combines the advantages of both.

Face Alignment

Active Pictorial Structures

no code implementations • CVPR 2015 • Epameinondas Antonakos, Joan Alabort-i-Medina, Stefanos Zafeiriou

Inspired by the tree structure used in PS, the proposed Active Pictorial Structures (APS) model the appearance of the object using multiple graph-based pairwise normal distributions (Gaussian Markov Random Field) between the patches extracted from the regions around adjacent landmarks.

Face Alignment

Bayesian Active Appearance Models

no code implementations • CVPR 2014 • Joan Alabort-i-Medina, Stefanos Zafeiriou

In this paper we provide the first, to the best of our knowledge, Bayesian formulation of one of the most successful and well-studied statistical models of shape and texture, i. e.

Texture Synthesis